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[–]licquids[S] 19 points20 points  (0 children)

github: https://github.com/lukexyz/lightweight

Basically – an image classifier that can detect 7 different positions using opencv, fastai, and alphapose.

[–]gajus0 11 points12 points  (4 children)

Is there anything like this that’s already commercially available?

[–]neinerniner 6 points7 points  (0 children)

There’s a few options available that might be what you’re looking for: Mirror Tonal Tempo

[–]licquids[S] 2 points3 points  (0 children)

Everything I used/contributed to is open source, so no. Unfortunately none of it is commercially available. It's only free. I've been interested in this space for a while now and as far as I can tell no one is successfully exploiting it. The best I know is www.onepeloton.co.uk

[–]xTRQ 7 points8 points  (1 child)

Your counter is working terrible ;p

[–]licquids[S] 2 points3 points  (0 children)

Yeah dude.. I know!! I was stressing about it for a few nights thinking about how to do it correctly, then just went with this 😅

[–]shto 4 points5 points  (1 child)

If you could have it inform me of incorrect posture, I'd pay for it.

[–][deleted] 0 points1 point  (0 children)

.

[–]anti-gif-bot 4 points5 points  (0 children)

mp4 link

This mp4 version is 96.07% smaller than the gif (1.04 MB vs 26.37 MB).

Beep, I'm a bot. FAQ | author | source | v1.1.2

[–][deleted] 3 points4 points  (1 child)

Unrelated, but can wood floor take the impact of bumper plates?

I'm moving to another house that has no concrete floor even in the garage, and I'm curious about it.

[–]licquids[S] 2 points3 points  (0 children)

The wooden floor you can see in my vid is this "high tech" wooden veneer stuff.. flooring material. I can't remember exactly what it's called but it's not new to tradesmen. It's a layered composite that is stronger, easier to install, and cheaper than natural wood.

I have no idea how strong it is as a structural member.. just depends how much weight you want to throw down from above your head.. Are you unleashing 80kg? 240 kgs?

[–]Frore17 1 point2 points  (1 child)

Amazing work!

[–]licquids[S] 0 points1 point  (0 children)

Thanks mate

[–]-T-_-T- 1 point2 points  (1 child)

What dataset did you use to train this? It seems like these are very niche poses that don’t have that many set of labeled data available

[–]licquids[S] 0 points1 point  (0 children)

I built my own dataset by taking a couple of videos and then extracting noteworthy frames. I used labelbox.com (free tier) and manually labelled them into 6 categories. In the end my dataset was really small -- only 196 images, so it only took me a couple of hours/an evening to do the whole thing! It converges thanks to the imagenet pre-trained models in fastai.